Graph factorization is a mathematical and computational technique used to decompose a graph into its constituent parts or factors, which can help in understanding the underlying structure and relationships within the graph. It is often applied in the context of recommendation systems, link prediction, community detection, and various machine learning tasks involving graph data. ### Key Concepts: 1. **Graphs**: A graph consists of nodes (or vertices) and edges.
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